Repository logo
  • Log In
    New user? Click here to register.Have you forgotten your password?
University College Dublin
    Colleges & Schools
    Statistics
    All of DSpace
  • Log In
    New user? Click here to register.Have you forgotten your password?
  1. Home
  2. College of Business
  3. School of Business
  4. Business Research Collection
  5. Grammar Defined Introns: An Investigation Into Grammars, Introns, and Bias in Grammatical Evolution
 
  • Details
Options

Grammar Defined Introns: An Investigation Into Grammars, Introns, and Bias in Grammatical Evolution

Author(s)
O'Neill, Michael  
Ryan, Conor  
Nicolau, Miguel  
Uri
http://hdl.handle.net/10197/8370
Date Issued
2001-07-11
Date Available
2017-02-22T11:06:16Z
Abstract
We describe an investigation into the design of different grammars on Grammatical Evolution. As part of this investigation we introduce introns using the grammar as a mechanism by which they may be incorporated into Grammatical Evolution. We establish that a bias exists towards certain production rules for each non-terminal in the grammar, and propose alternative mechanisms by which this bias may be altered either through the use of introns, or by changing the degeneracy of the genetic code. The benefits of introns for Grammatical Evolution are demonstrated experimentally.
Type of Material
Conference Publication
Publisher
Morgan Kauffman
Subjects

Grammatical evolution...

Introns

Web versions
http://www.sigevo.org/gecco-2001/
Language
English
Status of Item
Peer reviewed
Journal
Spector, L., et al. (eds.). GECCO-2001: Proceedings of the Genetic and Evolutionary Computation Conference : a Joint Meeting of the Sixth Annual Genetic Programming Conference (GP-2001) and the Tenth International Conference on Genetic Algorithms (ICGA-2001)
Conference Details
GECCO 2001 - Genetic and Evolutionary Computation Conference, San Francisco, California, USA, 7-11 July 2001
ISBN
9781558607743
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
Loading...
Thumbnail Image
Name

p97-oneill.pdf

Size

170.86 KB

Format

Adobe PDF

Checksum (MD5)

ac002fde05aa3a54febea152cc887bcb

Owning collection
Business Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Cookie settings
  • Privacy policy
  • End User Agreement